Hong Kong, July 2, 2026 /PRNewswire/ — CLPS Incorporation (the “Company” or “CLPS”) (Nasdaq: CLPS) today announced the launch of Athena, an enterprise AI knowledge capitalization project designed to improve operational efficiency, improve service quality and protect the Company’s core intellectual assets.
Leveraging advanced technologies such as multimodal knowledge extraction, large-scale language models (LLMs), vector databases, self-evolving artificial intelligence (AI) agents, and LLM Wiki knowledge weaving, Athena integrates critical knowledge assets such as product features, solution implementations, testing methodologies, and AI best practices, previously spread across documents, images, voice recordings, and customer relationship management (CRM) systems, into an interactive, reasonable, and intelligent knowledge base.
Athena is designed to strengthen our sales, presales, delivery and client management teams by improving client service efficiency, solution development quality and strategic decision-making capabilities, while establishing long-term competitive advantage through the protection and exploitation of our core intellectual assets.
Multimodal cognition: from people searching for documents to systems for understanding knowledge.
Over the years, the company has accumulated extensive knowledge assets, including product documentation for solutions such as CAKU and Nibot, solution and testing expertise in financial and non-financial industries, e-commerce and banking delivery experience, AI methodologies and other institutional knowledge. These resources are stored in multiple formats, such as Word documents, PDFs, PowerPoint presentations, spreadsheets, images, and audio files, and are distributed in various locations.
Through technologies such as optical character recognition (OCR), speech recognition, document layout analysis, and semantic summarization, the platform automatically extracts and structures disparate information. The information is then vectorized, segmented, embedded, and stored within a vector database to create an integrated knowledge base.
Weaving knowledge: From document repositories to knowledge networks
Fragmented knowledge bases remain a major operational bottleneck for modern enterprises, often requiring users to manually integrate information across separate documents. Athena directly addresses this inefficiency by leveraging advanced LLM Wiki patterns. It automatically transforms raw, unstructured documents into seamlessly navigable, interlinked knowledge networks. As a result, when users query the system, Athena bypasses traditional disjointed search results. Instead, it captures and contextualizes answers directly from within this structured network to provide comprehensive, actionable insights.
Intelligent interaction: from keyword searches to direct answers
Traditional knowledge searches rely heavily on keyword matching and often struggle to accommodate the diverse needs of different roles, such as sales, pre-sales, and delivery teams. Through Athena, employees can easily ask questions in natural language. Intelligent agents automatically perform search, reasoning, and planning processes to provide accurate answers rather than lists of documents, significantly reducing the time and effort required to access information.
Athena supports multi-turn interactions and contextual understanding, delivering targeted responses based on the context of the conversation, just like a knowledgeable colleague with access to your company’s collective expertise. Athena enables near real-time knowledge support for high-frequency scenarios such as customer visits, pre-sales presentation preparation, and bidding strategy development.
self‑Evolving feedback loops and separation of privileges: ensuring answer quality and data security
The platform includes a built-in feedback mechanism that allows users to provide positive or negative ratings for responses. Automated inspection agents regularly analyze feedback data, diagnose potential problems, and optimize knowledge base structure, search strategies, and agent workflows. Self-evolving technology allows the platform to continually improve over time, increasing accuracy with continued use.
At the same time, Athena implements a strict separation of privileges framework based on business hierarchy and sensitivity levels to ensure employees only have access to the knowledge they are authorized to, while maintaining the right balance between information sharing and data security.
Triple value: operational efficiency, asset protection, and innovation-driven growth
- Improved operational efficiency: Employees no longer have to make repetitive cross-functional inquiries or manually search through vast amounts of documentation. We expect to reduce knowledge search time from hours to seconds, increasing the delivery efficiency of pre-sales solutions by more than 50%.
- Core asset protection: Athena transforms accumulated organizational knowledge into enterprise-wide knowledge. digital assetseffectively reducing the risk of knowledge loss due to employee turnover, while enhancing our company’s long-term competitive advantage.
- Enabling decision-making and innovation: The platform aggregates and correlates knowledge across projects, business functions, and industries to uncover hidden business patterns and growth opportunities, delivering data-driven insights that support product innovation, market expansion, and strategic decision-making.
Project leader Zhao Jing said, “Rapid advances in AI technology over the past year have enabled AI to become a core driver of innovation and decision-making for enterprises. Athena is focused on embedding these capabilities into a company’s daily operations. With Athena, we’re turning knowledge bases into just knowledge factories, storing tons of information that’s hard to find and even harder to utilize. automatically understands, weaves and connects information, turning every document into a node in a knowledge network, and every question employees ask helps make the entire knowledge network smarter.”
Raymond Lin, Chief Executive Officer of CLPS, said: “Through the AI Knowledge Capitalization Project, we are transforming fragmented core data into a reasonable, self-evolving intelligent hub that enables employees to get accurate answers in seconds and improve operational efficiency. “At the same time, we are protecting our intellectual assets and mitigating the risk of knowledge loss associated with employee mobility. We believe this initiative will significantly improve our efficiency in developing pre-sales solutions and our responsiveness to our customers.”
“In the future, we envision equipping every employee with an AI-powered digital assistant that can provide comprehensive access to a company’s collective knowledge. We also plan to commercialize these capabilities externally, helping more companies unlock the value of their knowledge assets and accelerate their digital transformation journey.”
About CLPS Co., Ltd.
Founded in 2005 and headquartered in Hong Kong, CLPS Incorporation (NASDAQ: CLPS) is at the forefront of driving digital transformation and optimizing operational efficiency across industries through innovations in artificial intelligence, cloud computing, and big data. Our diverse business activities span the following fields: fintechpayment and credit services, e-commerce, education and study abroad programs, transportation services and integrated global tourism. With strategic regional hubs in Shanghai (Mainland China), Singapore (Southeast Asia) and California (North America), operations in 10 countries around the world, and supported by subsidiaries in Japan and the UAE, we offer a powerful global services network that evolves legacy industries into data-driven, intelligent ecosystems. For more information about our company, please see below. https://ir.clpsglobal.com/or follow CLPS facebook, Instagram, linkedin, × and YouTube.
Forward-looking statements
Certain statements made in this press release are “forward-looking statements” within the meaning and protection of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements include statements regarding our beliefs, plans, objectives, goals, expectations, projections, assumptions, estimates, intentions and future performance. Known and unknown risks, uncertainties and other factors beyond our control may cause our actual results and performance to differ materially from such forward-looking statements. All such statements attributable to the Company are expressly qualified in their entirety by this Cautionary Notice, including, without limitation, risks and uncertainties relating to the Company’s expectations regarding the Company’s future growth, developments in the AI technology field, performance and results of operations, and the Company’s ability to take advantage of various commercial, M&A, technology and other related opportunities and initiatives, as well as the risks and uncertainties described in the Company’s recently filed SEC reports and filings. Such reports are available upon request from us or the Securities and Exchange Commission, including through the SEC’s Internet website at http://www.sec.gov. The Company undertakes no obligation, and undertakes no obligation, to update, revise or revise any forward-looking statements after the date of this document or the respective dates on which such statements are otherwise made.
contact:
CLPS Co., Ltd.
Ron Galisha
Investor Information Office
Phone number: +86-182-2192-5378
Email: [email protected]
Summer article: http://www.prnasia.com/story/archive/4997046_CN97046_0
